Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. Minimizing theory and mathematics, this book focuses on the application and practice of statistics used in data analysis. The book includes a refresher on basic statistics and an introduction to R, techniques for the visual display of data through graphics, an overview of statistical hypothesis tests, a comprehensive guide to the use of the linear model, an introduction to extensions to the linear model for commonly encountered scenarios, and instruction on how to plan and design experiments.